Hua Zhong

Natural Language Processing · with Chen · 2015

A researcher in the Science corpus: 1 paper; trusts 1 researcher and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Hua Zhong trusts overall

Their strongest outbound trust, strongest first, inferred from their citations.

  1. Antoine Bordes
  2. Zhen Wang
  3. Jason Aaron Edward Weston
  4. Tomas Mikolov
  5. Richard Socher
  6. Yoshua Bengio
  7. Mihai Surdeanu
  8. Mike D. Mintz
  9. Christopher D. Manning
  10. Jianwen Zhang

Who trusts Hua Zhong overall

  1. Hongwei Wang
  2. Ruobing Xie
  3. Han Xiao
  4. Xiao Huang
  5. Fuzheng Zhang
  6. Zhiyuan Liu
  7. Miao Zhao
  8. Minlie Huang
  9. Jingyuan Zhang

Papers from Hua Zhong's perspective

Ordered by how strongly the researchers Hua Zhong trusts endorse each paper. Same corpus, a different order for every researcher.

  1. ImageNet classification with deep convolutional neural networks
  2. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
  3. Attention is All you Need (Neural Information Processing Systems)
  4. Long Short-Term Memory
  5. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  6. Gradient-based learning applied to document recognition
  7. ImageNet: A large-scale hierarchical image database
  8. Sequence to Sequence Learning with Neural Networks (Neural Information Processing Systems)
  9. Neural Machine Translation by Jointly Learning to Align and Translate (International Conference on Learning Representations)
  10. Efficient Estimation of Word Representations in Vector Space

Their papers